Advanced Authentication System with Biometric and OTP Integration


Authors : Jeevan Kumar Vajja; Polaki Pavan; Dunga Sasi Kumar; Kaniti Navya; Srinu Kurimina; Yogeshwar Rao Divvalasa

Volume/Issue : Volume 10 - 2025, Issue 4 - April


Google Scholar : https://tinyurl.com/msfezpn6

Scribd : https://tinyurl.com/mpecmrc6

DOI : https://doi.org/10.38124/ijisrt/25apr160

Google Scholar

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.


Abstract : In the modern digital era, traditional key-based locks are highly vulnerable to duplication and unauthorized access, necessitating advanced authentication mechanisms. This research proposes a dual-layer authentication system using a Raspberry Pi Pico, integrating facial recognition and a secure OTP mechanism to enhance security. The system first captures and verifies facial features against an authorized database. An OTP is generated using secure algorithms and transmitted via encrypted channels if authentication fails. The user enters this OTP on a keypad for secondary verification. Additional security measures include OTP expiration, limited authentication attempts, and encrypted data transmission, ensuring robust protection against unauthorized access. Furthermore, the system incorporates a GSM module for real-time OTP delivery, ensuring accessibility even in network-restricted environments. The relay module and electronic solenoid lock coordinate to provide seamless and automated door control. This system is designed for smart homes, offices, and high- security zones, offering a scalable and reliable solution for modern access control systems.

Keywords : Smart Authentication, Dual-Layer Security, Facial Recognition, OTP Verification, Raspberry Pi Pico, GSM Module, NFC, Biometric Authentication.

References :

  1. Thorat, Sohan, et al. “A Survey on Smart Authentication Door Locking System.” International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), vol. 3, no. 4, 2023, pp. 2581–9429..Available: ijarsct.co.in, DOI: 10.48175/IJARSCT-9873.
  2. Ignacio, José, et al. “Access System Using Facial Recognition and NFC.” International Research Journal of Advanced Engineering and Science, vol. 8, no. 1, 2023, pp. 193–198. Available: irjaes.com
  3. Patil, Adarsh V, et al. “Android Based Smart Door Locking System.” International Journal of Engineering Research & Technology (IJERT), vol. 6, no. 13, 24 Apr. 2018. Available: ijert.org, DOI: 10.17577/IJERTCONV6IS13199.
  4. Arpita Mishra, Siddharth Sharma, SachinDubey, S.K.Dubey, “Password Based Security Lock System”, International Journal of Advanced Technology in Engineering and Science, 2011.
  5. BhalekarPandurang, JamgaonkarDhanesh, Prof. Mrs. ShailajaPede, GhangaleAkshay, Garge Rahul, “Smart Lock: A Locking System Using Bluetooth Technology & Camera Verification”, International Journal of Technical Research, 2013.
  6. LiaKamelia, AlfinNoorhassan S.R, MadaSanjaya and W.S., Edi Mulyana , “Door-Automation System Using Bluetooth-Based Android For Mobile Phone”, ARPN Journal of Engineering and Applied Sciences(ISSN 1819-6608), Vol. 9, No. 10, October 2014.
  7. NeelamMajgaonkar, RuhinaHodekar, PriyankaBandagale, “Automatic Door Locking System”, International Journal of Engineering Development and Research, Volume 4, Issue 1,2013 ISSN: 2321-9939.
  8. R.A. Ramlee, D. H. Z. Tang, M.M.Ismail, “Smart Home System for Disabled People Via Wireless Bluetooth”, in Proc. of IEEE International Conference on System Engineering and Technology, pp. 1-4, 2012.
  9. Harnani Hassan, Raudah Abu Bakar, Ahmad Thaqib and FawwazMokhtar, “Face Recognition Based on AutoSwitching Magnetic Door Lock System using Microcontroller” in International Conference on System Engineering and Technology, Indonesia, 2012.
  10. JunainaMohd Shah, “Door Locking System using RFID Technology,” Faculty of Electrical and Electronic Engineering, UniversitiTun Hussein Onn Malaysia: Final Year Project Report, 2009.

In the modern digital era, traditional key-based locks are highly vulnerable to duplication and unauthorized access, necessitating advanced authentication mechanisms. This research proposes a dual-layer authentication system using a Raspberry Pi Pico, integrating facial recognition and a secure OTP mechanism to enhance security. The system first captures and verifies facial features against an authorized database. An OTP is generated using secure algorithms and transmitted via encrypted channels if authentication fails. The user enters this OTP on a keypad for secondary verification. Additional security measures include OTP expiration, limited authentication attempts, and encrypted data transmission, ensuring robust protection against unauthorized access. Furthermore, the system incorporates a GSM module for real-time OTP delivery, ensuring accessibility even in network-restricted environments. The relay module and electronic solenoid lock coordinate to provide seamless and automated door control. This system is designed for smart homes, offices, and high- security zones, offering a scalable and reliable solution for modern access control systems.

Keywords : Smart Authentication, Dual-Layer Security, Facial Recognition, OTP Verification, Raspberry Pi Pico, GSM Module, NFC, Biometric Authentication.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe